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WebScraper - Enterprise Web Data Extraction Platform

A production-ready, enterprise-grade web scraping platform with multi-engine support (HTTP, Browser, Distributed Crawler), AI-powered data extraction (GPT-4, Claude), and distributed task processing via Celery. Features anti-detection system, 8 export formats, real-time monitoring dashboard, and multi-database storage (PostgreSQL, MongoDB, Redis).

View Source Code

69 Python files

modules

8 export formats

formats

3 scraping engines

engines

Technical Implementation

Built with Python FastAPI backend and Next.js 14 dashboard, featuring 3 scraping engines optimized for different scenarios: HTTP scraper for static content, Playwright-based browser scraper for JavaScript rendering, and Scrapy integration for large-scale distributed crawling. Implements comprehensive anti-detection with user agent rotation, browser fingerprint spoofing, proxy management, and CAPTCHA solving integration. Data flows through a 4-stage ETL pipeline with validation, cleaning, deduplication, and transformation before export to 8 different formats.

Key Features

Multi-engine scraping: HTTP/2 async, Playwright browser automation, Scrapy distributed crawler

AI-powered data extraction with GPT-4 and Claude integration for intelligent parsing

Anti-detection system: User agent rotation, browser fingerprinting, proxy rotation, CAPTCHA solving

4-stage data pipeline: Validation → Cleaning → Deduplication → Transformation

8 export formats: JSON, JSONL, CSV, Excel, Parquet, PostgreSQL, MongoDB, SQLite

Distributed task processing with Celery and 4 priority queues

Website cloning with 100% visual accuracy including all assets (HTML, CSS, JS, images, fonts)

Screenshot generation: PNG, JPEG, WebP, full-page, element-specific, PDF export

Real-time monitoring dashboard with Prometheus metrics and Grafana visualization

Webhook notifications for job completion and error alerts

Recurring job scheduling with cron expressions via Celery Beat

Rate limiting with per-domain configuration and intelligent throttling

Modern Next.js 14 dashboard with dark mode, real-time updates, and responsive design

Architecture & Patterns

Async-First Design with FastAPI and async/await throughout the codebase

Abstract Factory Pattern for scraper engine selection (HTTP, Browser, Scrapy)

Pipeline Pattern for 4-stage data processing (validate → clean → dedupe → transform)

Repository Pattern with DatabaseManager abstracting PostgreSQL, MongoDB, Redis

Task Queue Pattern with Celery for distributed work distribution

Strategy Pattern for multiple exporters handling 8 different output formats

Observer Pattern with webhooks for event notifications

Middleware Pattern for FastAPI logging, CORS, and error handling

Context Manager Pattern for async resource management

Pydantic Settings for environment-based configuration management

Project Highlights

Production-ready enterprise architecture with comprehensive error handling3 scraping engines with automatic fallback mechanismsAI-powered extraction using GPT-4 and Claude for intelligent data parsingFull ETL pipeline with schema validation and automatic deduplicationMulti-database strategy: PostgreSQL (structured), MongoDB (documents), Redis (cache)Comprehensive anti-detection bypassing common bot-mitigation systems11-page Next.js dashboard with real-time statistics and job managementDocker Compose orchestration for 8 services (API, Dashboard, Workers, DBs, Monitoring)Prometheus metrics with 15+ tracked performance indicatorsType-safe implementation with Pydantic (Python) and TypeScript (Frontend)

Technology Stack

PythonFastAPICeleryRedisPostgreSQLMongoDBPlaywrightScrapyBeautifulSoupNext.js 14TypeScriptTailwind CSSDockerPrometheusOpenAI APIAnthropic API

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